⚠️ Security Warning

Please be aware that LoLLMs WebUI does not have built-in user authentication and is primarily designed for local use. Exposing the WebUI to external access without proper security measures could lead to potential vulnerabilities.

If you require remote access to LoLLMs, it is strongly recommended to follow these security guidelines:

1. Activate Headless Mode: Enabling headless mode will expose only the generation API while turning off other potentially vulnerable endpoints. This helps to minimize the attack surface.
2. Set Up a Secure Tunnel: Establish a secure tunnel between the localhost running LoLLMs and the remote PC that needs access. This ensures that the communication between the two devices is encrypted and protected.
3. Modify Configuration Settings: After setting up the secure tunnel, edit the /configs/local_config.yaml file and adjust the following settings:

   host: 0.0.0.0  # Allow remote connections
   port: 9600  # Change the port number if desired (default is 9600)
   force_accept_remote_access: true  # Force accepting remote connections
   headless_server_mode: true  # Set to true for API-only access, or false if the WebUI is needed

By following these security practices, you can help protect your LoLLMs instance and its users from potential security risks when enabling remote access.

Remember, it is crucial to prioritize security and take necessary precautions to safeguard your system and sensitive information. If you have any further questions or concerns regarding the security of LoLLMs, please consult the documentation or reach out to the community for assistance.

Stay safe and enjoy using LoLLMs responsibly!

Optimizing Learning with Lollms: Introducing the Skills Library Feature

In a recent breakthrough, Lollms has unveiled a new feature that revolutionizes its learning process and enhances its performance. The introduction of the skills library allows users to add, activate, and manage skills, paving the way for a more personalized and interactive experience.

Utilizing a blend of learned skills and advanced memory management, Lollms showcases its prowess in delivering accurate and efficient responses. The implementation of the skills library signifies a significant advancement in the AI’s capabilities, promising users a more tailored and engaging interaction.

While still in its early alpha stage, the skills library feature is set to undergo further enhancements, including skill organization, sharing, and export/import functionalities. As Lollms continues to evolve, users can anticipate a dynamic and enriching experience with this intelligent system.

Stay tuned for more updates on Lollms and its journey towards optimized learning and enhanced performance.